Multi-objective optimization for existing buildings retrofitting under government subsidization

Science and Technology for the Built Environment

Volumn 21, Issue 6, 2015, Pages 847-861

  Penna, Paola ^a   Prada, Alessandro ^a   Cappelletti, Francesca ^b   Gasparella, Andrea ^a  

^a FREE UNIVERSITY OF BOZEN BOLZANO   (Italy)

^b UNIVERSITY IUAV OF VENICE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84940383517     PISSN: 23744731     EISSN: 2374474X     Source Type: Journal    
DOI: 10.1080/23744731.2015.1028867     Document Type: Article

References (58)

1. Achten, K., R. De Coninck, G. Verbeeck, and J. Van der Veken. 2009. Analyzing the economic feasibility of permutations of energy saving measures with batch simulations and Pareto optimization. Proceedings of Building Simulation, Glasgow, Scotland, July 27–30, pp. 660–7.
2. Amstalden, R.W., M. Kost, C. Nathani, and D.M. Imboden. 2007. Economic potential of energy-efficient, retrofitting in the Swiss residential building sector: The effects of policy instruments and energy price expectations. Energy Policy 35:1819–29.
3. Asadi, E., M. G. da Silva, C.H. Antunes, L. Dias, and L. Glicksman 2014. Multi-objective optimization for building retrofits: A model using genetic algorithm and artificial neural network and an application. Energy and Buildings 81:444–56.
4. ASHRAE. 2007. ANSI/ASHRAE/IESNA Standard 90.1–2007, Energy Standard for Buildings Except Low-Rise Residential Buildings. Atlanta: ASHRAE.
5. Authority for Electricity and Natural Gas (AEEG). 2013. Annual Report on the state of services and regulatory activities. Istituto Poligrafico e Zecca dello Stato. Rome, Italy.
6. Becchio, C., E. Fabrizio, V. Monetti, and M. Filippi. 2013. Cost-optimal level of energy requirement forNearly-Zeb:Application to an Italian reference building for existing offices. Proceedings of Clima 2013, Prague, June 16–19.
7. Bolattürk, A. 2008. Optimization of insulation thickness for building walls with respect to cooling and heating degree-hours in the warmest zone of the Turkey. Building Environment 43:1055–64.
8. Building Performance Institute Europe (BPIE). 2011. Europe’s Building under the Microscope, A country-by-country review of the energy performance of buildings. Bruxelles, Belgium, BPIE.
9. Carlon, C., V.K. Verma, M. Schwarz, L. Golicza, A. Prada, M. Baratieri, W. Haslinger, and C. Schmidl. 2015. Experimental validation of a thermodynamic boiler model under steady state and dynamic conditions. Applied Energy 138:505–16.
10. Chantrelle, P., H. Lahmidi, and P. Michel. 2009. Use of genetic algorithms formulticriteria optimization of building refurbishment. Proceedings of Building Simulation, Glasgow, Scotland, July 27–30, pp. 188–95.
11. ComitatoTermotecnico Italiano. 2012. Anno tipo climatico per le provincie italiane. http://www.cti2000.it/
12. Deb, K., A. Pratap, and S. Agarwal. 2002. A fast and elitist multiobjectives genetic algorithm: NSGA-III. IEE Transactions on Evolutionary Computation 6(2):182–97.
13. European Central Bank (ECB). 2014. Euro exchange rates. www.ecb.europa.eu/stats/exchange/eurofxref/html/eurofxrefgraph-usd.en.html
14. European Commission (EC). 2009. EU energy trends to 2030. Brussels: European Commission.
15. European Commission (EC). 2010. Directive 2010/31/EU of the European Parliament and of the Council, Official Journal of European Union, L 153/13, 18/06/2010. Brussels: European Commission.
16. European Commission (EC). 2011. Energy efficiency plan 2011. Brussels: European Commission.
17. European Commission (EC). 2012a. Commission delegated regulation (EU) No. 244/2012 of 16, January. Brussels: European Commission.
18. European Commission (EC). 2012b. Directive 2012/27/EU of the European Parliament and of the Council, Official Journal of European Union. L.315/1, 14.11.2012. Brussels: European Commission.
19. European Commission (EC), DG Energy. 2014. Technical Guidance, Financing the energy renovation of buildings with cohesion policy funding. Brussels: European Commission, DG Energy.
20. European Committee for Standardization (CEN). 1999. EN 12207:1999, Windows and Doors. Air Permeability—Classification. Bruxelles, Belgium: CEN.
21. European Committee for Standardization (CEN). 2003. EN 12831:2003, Heating Systems in Buildings—Method for Calculation of the Design Heat Load. Bruxelles, Belgium: CEN.
22. European Committee for Standardization (CEN). 2007a. EN 15242:2007, Ventilation for Buildings—Calculation Method for the Determination of Air Flow Rates in Buildings Including Infiltration. Bruxelles, Belgium: CEN.
23. European Committee for Standardization (CEN). 2007b. EN 15251, Indoor Environmental Input Parameters for Design and Assessment of Energy Performance of Buildings Addressing Indoor Air Quality, Thermal Environment, Lighting and Acoustics. Bruxelles, Belgium: CEN.
24. European Committee for Standardization (CEN). 2007c. EN 15459:2007, Energy Performance of Buildings—Economic Evaluation procedure for Energy Systems in Buildings. Bruxelles, Belgium: CEN.
25. European Committee for Standardization (CEN). 2007d. EN ISO 10211:2007, Thermal Bridges in Building Construction—Heat Flows and Surface Temperatures—Detailed Calculations. Bruxelles, Belgium: CEN.
26. European Committee for Standardization (CEN). 2007e. EN 15217:2007. Energy Performance of Buildings. - Methods for expressing energy performance and for heating certification of buildings. Bruxelles, Belgium: CEN.
27. Ferrara, M., E. Fabrizio, J. Virgone, and M. Filippi. 2014. A simulationbased optimization method for cost-optimal analysis of nearly zero energy buildings. Energy and Buildings 84:442–57.
28. Gamtessa, S.F. 2013. An explanation of residential energy-efficiency retrofit behavior in Canada. Energy and Building 57:155–64.
29. Griego, D., M. Krarti, and A. Hernandez-Guerrero. 2012. Optimization of energy efficiency and thermal comfort measures for residential buildings in Salamanca, Mexico. Energy and Buildings 54:540–9.
30. Haller, M.Y., J. Paavilainen, L. Kornersmann, R. Haberl, A. Dr ¨ oscher, and E. Frank. 2011a. A unified model for the simulation of oil, gas and biomass space heating boilers for energy simulation purposes. Part I: Model development. Journal of Building Performance Simulation 4:1–18.
31. Haller, M.Y., J. Paavilainen, L. Kornersmann, R. Haberl, A. Dr ¨ oscher, and E. Frank. 2011b. A unified model for the simulation of oil, gas and biomass space heating boilers for energy simulation purposes. Part II: Parameterization and comparisonwithmeasurements. Journal of Building Performance Simulation 4:19–36.
32. Hamdy, M., A. Hasan, and K. Siren. 2011. Applying a multi-objective optimization approach for Design of low-emission cost-effective dwellings. Building and Environment 46:100–23.
33. Hamdy, M., A. Hasan, and K. Siren. 2013. A multi-stage optimization method for cost-optimal and nearly-zero-energy building solutions in line with the EPBD recast 2010. Energy and Buildings 56:189–203.
34. Higgins, A., M. Syme, J. McGregor, L. Marquez, and S. Seo. 2014. Forecasting uptake of retrofit packages in office building stock under government incentives. Energy Policy 65:501–11.
35. Italian Organization for Standardization (UNI). 2008. UNI/TS 11300- 1:2008, Energy Performance of Buildings—Part 1: Evaluation of Energy Need for Space Heating and Cooling. Rome, Italy: UNI.
36. Italian Parliament. 1972. Decree of the President of the Italian Republic (DPR) n.633. Istituzione e disciplina dell’imposta sul valore aggiunto.
37. Italian Parliament. 1976. Law 373 Norme per il contenimento del consume energatico per usi termici negli edifici.
38. Italian Parliament. 1991. Law 10, Norme per l’attuazione del piano energetico nazionale in materia di uso nazionale dell’energia, di risparmio energetico e di sviluppo delle fonti rinnovabili di energia.
39. Italian Parliament. 2013. Decree of the President of The Italian Republic n. 74 Regolamento recante definizione dei criteri generali in materia di esercizio, conduzione, controllo, manutenzione e ispezione degli impianti termici per la climatizzazione invernale ed estiva degli edifici e per la preparazione dell’acqua calda per usi igienici sanitari.
40. Kaynakli, O. 2008. A study on residential heating energy requirement and optimum insulation thickness. Renewable Energy 33: 1164–72.
41. Köppen, W. 1884. Die wärmezonen der erde, nach der dauer der heissen, gemässigten und kalten zeit und nach der wirkung der wärme auf die organische welt betrachtet. [The thermal zones of the earth according to the duration of hot, moderate and cold periods and to the impact of heat on the organic world]. Translated and edited by Volken E. and S. Brönnimann. Meteorol. Z. 20:351–60.
42. Lawrence Berkeley National Laboratory (LBNL). 2013. THERM 6.3/WINDOW6.3NFRC. Simulationmanual. http://windows.lbl.gov/software/window/6/
43. Lollini, R., B. Barozzi, G. Fasano, I. Meroni, and M. Zinzi. 2006. Optimization of opaque components of the building envelope: Energy, economic and environmental issues. Building Environment 41: 1001–13.
44. MATLAB. 2008. 7.7.0 R 2008. Natick, MA: The MathWorks.
45. McLeod, R.S., C.J. Hopfe, and A. Kwan. 2013. An investigation into future performance and overheating risks in Passivhaus dwellings. Building and Environment 70:189–209.
46. Mlakar, J., and J. Štrancar. 2011. Overheating in residential passive house: Solution strategies revealed and confirmed through data analysis and simulations. Building and Environment 43: 1443–51.
47. Murray, S.N., B.P. Walsh, D. Kelliher, and D.T. J. O’Sullivan. 2014. Multivariable optimization of the thermal energy efficiency retrofitting of buildings using static modelling and genetic algorithms. Building and Environment 75:98–107.
48. Özkan, D.B., and C. Onan. 2011. Optimization of insulation thickness for different glazing areas in buildings for various climatic regions in Turkey. Applied Energy 88:1331–42.
49. Penna, P., Prada, A., Cappelletti, F. and A. Gasparella. 2015. Multi-objectives optimization of Energy Efficiency Measures in existing buildings. Energy and Buildings. http://dx.doi.org/10.1016/j.enbuild.2014.11.003
50. Rapone, G., and O. Saro. 2012. Optimisation of curtain wall facades for office buildings by means of PSO algorithm. Energy and Buildings 45:189–96.
51. Rysanek, A.M., and R. Choudhary. 2013. Optimum building energy retrofits under technical and economic uncertainty. Energy and Buildings 57:324–37.
52. Saltelli, A., S. Tarantola, F. Campolongo, and M. Ratto. 2004. Sensitivity Analysis in Practice. A Guide to Assessing Scientific Models, pp. 193–204, Sample generation, Chichester, UK: John Wiley & Sons.
53. Solar Energy Laboratory. 2012. TRNSYS 17, A transient system simulation program. http://sel.me.wisc.edu/trnsys
54. Tuhus-Dubrow, D., and M. Krarti. 2010. Genetic-algorithm based approach to optimize building envelope design for residential buildings. Building and Environment 45:1574–81.
55. United Nations EconomicCommission forEurope (UNECE). 2006. Bulletin of housing statistics for Europe and North America, Technical Report. Geneve, Switzerland: UNECE.
56. Wang, B., X. Xia, and J. Zhang. 2014. A multi-objective optimization model for the life-cycle cost analysis and retrofitting planning of buildings. Energy and Building 77:227–235.
57. Wang, W., H. Rivard, and R. Zmeureanu. 2006. Floor shape optimization for green building design. Advanced Engineering Informatics 20:363–78.
58. Wright, J.A., H.A. Losemoore, and R. Farmani. 2002. Optimization of building thermal design and control by multi-criterion genetic algorithm. Energy and Building 34:959–72.